Anthropic releases network security recommendations and promises to continuously update guidance as the project progresses.

date
09:16 11/04/2026
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GMT Eight
Anthropic posted on his Claude blog, listing seven network security recommendations: shrinking vulnerability patching window, preparing for handling significantly increased vulnerability reports, checking for vulnerabilities before going live, scanning existing code for vulnerabilities, designing systems with the mindset of "assume breached", reducing and refining external exposure, and compressing event response time.
Anthropic has put forward a series of suggestions for AI-era network security defense and stated that it will continue to update relevant guidelines as the Project Glasswing partnership progresses. On April 10, Anthropic published a blog post, releasing a series of network security suggestions and practical operational guidelines for enterprises and developers, aimed at helping all parties prepare for the AI-driven threat environment. The company pointed out in the blog post: The widespread adoption of models that are on par with Mythos' capabilities is not far off. This statement is intended to emphasize that the fundamental transformation of the current network security landscape is an imminent reality, and enterprises need to take immediate action. Previously, Wall Street News reported that Anthropic initiated the "Project Glasswing" joint project, inviting tech giants such as Amazon, Apple, and Microsoft to test the undisclosed AI model Mythos, with the aim of identifying network security vulnerabilities in advance and sharing the results with the industry. Anthropic stated that there are currently no plans to release Mythos to the public. Seven core security suggestions Anthropic specifically listed seven network security suggestions in the blog, for industry reference: Close the patch gap: Accelerate the pace of vulnerability remediation and compress the time window in which known vulnerabilities are exploited; Prepare for handling high-volume vulnerability reports: With the improvement of AI-assisted vulnerability scanning capabilities, the number of vulnerability reports is expected to increase significantly; Discover vulnerabilities before release: Move the security testing phase to the software development stage; Investigate vulnerabilities in existing code: Conduct proactive security reviews on code libraries that are already in operation; Design systems with the assumption of being attacked: Incorporate the security concept of "assume being compromised" at the architectural level; Reduce the attack surface and create a list: Identify and narrow down the systems and interfaces exposed to the outside world; Shorten incident response time: Improve the detection and response efficiency of security events. This article is from "Wall Street News", authored by Bai Yilong, GMTEight editor: Li Cheng.